# cronozen-proof

> Use this tool when you need to ensure the integrity and transparency of AI decision-making processes. It provides a tamper-proof audit trail, allowing you to record, verify, and export cryptographic proof chains, solving problems related to accountability and trust in AI systems. The tool offers six interfaces to manage proof chains via MCP, making it ideal for applications requiring secure and verifiable AI decision tracking.

Canonical page: https://skillsregistry.net/skills/cronozen-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/cronozen-mcp-server

## Description

Tamper-proof audit trail for AI decisions. 6 tools to record, verify, and export cryptographic proof chains via MCP.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vf3g284g8i)
- **Repository:** <https://github.com/cronozen/proof>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cronozen-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cronozen-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cronozen-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt